Module: tff.simulation | TensorFlow Federated (original) (raw)
Module: tff.simulation
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Libraries for running TensorFlow Federated simulations.
Modules
baselines module: Libraries for constructing baseline learning tasks suitable for simulation.
datasets module: Datasets for running TensorFlow Federated simulations.
models module: Models for running TensorFlow Federated simulations.
Classes
class SequenceTypeNotAssignableError: Inappropriate argument type.
class SequenceTypeNotFoundError: Inappropriate argument type.
Functions
build_uniform_sampling_fn(...): Builds the function for sampling from the input iterator at each round.
compose_dataset_computation_with_computation(...): Builds a new tff.Computation which constructs datasets on clients.
compose_dataset_computation_with_iterative_process(...): Builds a new iterative process which constructs datasets on clients.
compose_dataset_computation_with_learning_process(...): Builds a new learning process which constructs datasets on clients.
run_training_process(...): Runs a federated training_process
.
Other Members | |
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EVALUATION_METRICS_PREFIX | 'evaluation/' |
EVALUATION_TIME_KEY | 'evaluation_time_in_seconds' |
ROUND_NUMBER_KEY | 'round_number' |
ROUND_TIME_KEY | 'round_time_in_seconds' |
TRAINING_TIME_KEY | 'training_time_in_seconds' |